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Data Modeling for Azure Data Services

You're reading from   Data Modeling for Azure Data Services Implement professional data design and structures in Azure

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781801077347
Length 428 pages
Edition 1st Edition
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Author (1):
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Peter ter Braake Peter ter Braake
Author Profile Icon Peter ter Braake
Peter ter Braake
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Table of Contents (16) Chapters Close

Preface 1. Section 1 – Operational/OLTP Databases
2. Chapter 1: Introduction to Databases FREE CHAPTER 3. Chapter 2: Entity Analysis 4. Chapter 3: Normalizing Data 5. Chapter 4: Provisioning and Implementing an Azure SQL DB 6. Chapter 5: Designing a NoSQL Database 7. Chapter 6: Provisioning and Implementing an Azure Cosmos DB Database 8. Section 2 – Analytics with a Data Lake and Data Warehouse
9. Chapter 7: Dimensional Modeling 10. Chapter 8: Provisioning and Implementing an Azure Synapse SQL Pool 11. Chapter 9: Data Vault Modeling 12. Chapter 10: Designing and Implementing a Data Lake Using Azure Storage 13. Section 3 – ETL with Azure Data Factory
14. Chapter 11: Implementing ETL Using Azure Data Factory 15. Other Books You May Enjoy

Introducing the main components of Azure Data Factory

Before getting our hands dirty with hands-on examples, let's get familiar with some terminology. We will do that by explaining the main components comprising Azure Data Factory. Figure 11.2 shows the main components of Azure Data Factory and how they relate to one another:

Figure 11.2 – Azure Data Factory components

The main components comprising Azure Data Factory are as follows:

  • Activities
  • Datasets
  • Linked services
  • Pipelines

Let's look at each of these components in some detail.

Understanding activities

An activity is a piece of work that needs to be completed. An activity is a single piece of work, a single step if you will, in a larger whole. You could also describe an activity as a task that needs to be performed. Basically, there are just two tasks: you either copy or transform data. Getting data into the cloud or, when it is cloud-born, getting it into...

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